Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Google Compute Engine
Score 8.3 out of 10
N/A
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0.01
Hour
Pricing
Google App Engine
Google Compute Engine
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
Offerings
Pricing Offerings
Google App Engine
Google Compute Engine
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
More Pricing Information
Community Pulse
Google App Engine
Google Compute Engine
TrustRadius Insights
Google App Engine
Google Compute Engine
Highlights
Research Team Insight
Published
Google App Engine and Google Compute Engine are both services businesses can use for deploying applications once they’ve been coded. Google App Engine is a platform-as-a-service solution designed to make app deployment as easy possible. In contrast, Google Compute Engine is an infrastructure-as-a-service tool that provides a highly configurable and flexible platform for application deployment. Both options are most popular with small businesses, but Google App Engine is more popular with larger businesses, likely due to its automation features.
Features
Google App Engine and Google Compute Engine both provide a platform for application deployment, but they also have some standout features that are important to consider.
Google App Engine provides a host of automation features that make it easy for businesses to focus on app development, instead of configuring the deployment. As applications deployed on Google App Engine see more or less use, the platform will automatically adjust the number of instances without input from a developer. Google App Engine also provides a software development kit to help users optimize applications for the platform.
Google Compute Engine allows for a high level of customization so users can set up their deployment however they want. Businesses with a skilled development team can create as many or as few virtual machines as they want, while customizing them for the needs of their applications. Google Compute Engine is also generally more affordable compared to Google App Engine, which can make it more appealing to businesses on a smaller budget.
Limitations
Google App Engine and Google Compute Engine both help businesses deploy their applications, but they also have a few limitations that are important to consider.
Google App Engine provides a high level of automation and is simple to use, but isn’t as customizable as Google Compute Engine. Businesses with specific needs for their application may prefer the customizability of Google Compute Engine. Additionally, while Google App Engine’s software development kit is great for applications that are developed with Google App Engine, it can be difficult to take advantage of it if for applications that were developed before Google App Engine was selected.
Google Compute Engine is highly customizable, but it isn’t as automated or easy to use. Businesses using Google Compute Engine will have to manually adjust the volume of their virtual machines as application traffic grows or shrinks. Google Compute engine needs a development team to work with it, unlike Google App Engine, which can be managed with less effort.
Pricing
Google App Engine pricing depends on the type of instance, but starts as low as $0.05 per hour per instance.
Google Compute Engine offers pay as you go pricing starting as low as $0.006543 per hour.
Features
Google App Engine
Google Compute Engine
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Google App Engine
8.7
Ratings
9% above category average
Google Compute Engine
-
Ratings
Ease of building user interfaces
9.00 Ratings
00 Ratings
Scalability
9.00 Ratings
00 Ratings
Platform management overhead
9.00 Ratings
00 Ratings
Workflow engine capability
9.00 Ratings
00 Ratings
Platform access control
9.00 Ratings
00 Ratings
Services-enabled integration
8.00 Ratings
00 Ratings
Development environment creation
9.00 Ratings
00 Ratings
Development environment replication
8.00 Ratings
00 Ratings
Issue monitoring and notification
9.00 Ratings
00 Ratings
Issue recovery
9.00 Ratings
00 Ratings
Upgrades and platform fixes
8.00 Ratings
00 Ratings
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Google App Engine is especially well suited for situations where there is a variable workload during the day, e.g. inbound task processing with task queues. In this situation queues can be setup with parameters governing the process speed/scaling which allows you to easily balance performance with cost and meet a good balance.
It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
Building an application that uses Google's Authentication, means users no longer need to remember an different user id and password. Once they are logged into to Google, they can seamlessly access your application hosted on Google App Engine.
Google App Engine automatically scales up and down. SO if your application receives a spike in user traffic, App Engine automatically launches additional instances of your application to cater for the increased traffic. Once App Engine detects that the spike is usage is over, it automatically scales down to handle the current traffic.
Google App Engine can be easily integrated with Google Cloud SQL, Google Compute Engine, Google Cloud Storage etc, so that you can build out a full application using one or more of Google's Cloud Platform products.
A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
Google App Engine is very intuitive. It has the common programming language most would use. Google is a dependable name and I have not had issues with their servers being down....ever. You can safely use their service and store your data on their servers without worrying about downtime or loss of data.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
App Engine is a much more streamlined system than EC2. There is a fundamental difference between them, but they are used for basically the same thing as far a I could tell -- to serve applications EC2 is certainly more complicated, but if offers more machine-level control if that's what you need. It can tend to cost more as well. App Engine is far more straightforward but there are limitations if you need to change the environment. But even then, Google Compute Engine also compares to EC2 and stays within GCP.
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
Scalability means flexibility and less upfront costs
Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
Ramp up time is long, but after that it is quick to do many things and ROI is awesome
